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diff --git a/deploy/cpp_infer/docs/windows_vs2019_build.md b/deploy/cpp_infer/docs/windows_vs2019_build.md
index a5a6388966769f921d0285566a5c5fa942288e16..3500eecc0826f08dd1e80007ee079e5329430581 100644
--- a/deploy/cpp_infer/docs/windows_vs2019_build.md
+++ b/deploy/cpp_infer/docs/windows_vs2019_build.md
@@ -62,12 +62,12 @@ git clone -b dygraph https://github.com/PaddlePaddle/PaddleOCR
 ### Step1: 构建Visual Studio项目
 cmake安装完后后系统里会有一个cmake-gui程序，打开cmake-gui，在第一个输入框处填写源代码路径，第二个输入框处填写编译输出路径
 
-![step1](https://paddleocr.bj.bcebos.com/deploy/cpp_infer/cpp_files/cmake_step1.png)
+![step1](imgs/cmake_step1.png)
 
 ### Step2: 执行cmake配置
 点击界面下方的`Configure`按钮，第一次点击会弹出提示框进行Visual Studio配置，如下图，选择你的Visual Studio版本即可，目标平台选择x64。然后点击`finish`按钮即开始自动执行配置。
 
-![step2](https://paddleocr.bj.bcebos.com/deploy/cpp_infer/cpp_files/cmake_step2.png)
+![step2](imgs/cmake_step2.png)
 
 第一次执行会报错，这是正常现象，接下来进行Opencv和预测库的配置
 
@@ -88,7 +88,7 @@ CUDA_LIB、CUDNN_LIB、TENSORRT_DIR、WITH_GPU、WITH_TENSORRT
 
 配置好的截图如下
 
-![step3](https://paddleocr.bj.bcebos.com/deploy/cpp_infer/cpp_files/cmake_step3.png)
+![step3](imgs/cmake_step3.png)
 
 配置完成后，再次点击`Configure`按钮。
 
@@ -99,11 +99,11 @@ CUDA_LIB、CUDNN_LIB、TENSORRT_DIR、WITH_GPU、WITH_TENSORRT
 ### Step3: 生成Visual Studio 项目
 
 点击`Generate`按钮即可生成Visual Studio 项目的sln文件。
-![step4](https://paddleocr.bj.bcebos.com/deploy/cpp_infer/cpp_files/cmake_step4.png)
+![step4](imgs/cmake_step4.png)
 
 点击`Open Project`按钮即可在Visual Studio 中打开项目。打开后截图如下
 
-![step5](https://paddleocr.bj.bcebos.com/deploy/cpp_infer/cpp_files/vs_step1.png)
+![step5](imgs/vs_step1.png)
 
 在开始生成解决方案之前，执行下面步骤：
 1. 将`Debug`改为`Release`
@@ -132,7 +132,7 @@ CHCP 65001
 ```
 
 识别结果如下
-![result](https://paddleocr.bj.bcebos.com/deploy/cpp_infer/cpp_files/result.png)
+![result](imgs/result.png)
 
 
 ## FAQ